用可穿戴肌肉传感器可视化手力,用于增强混合现实远程协作
IEEE transactions on visualization and computer graphics
|October 3, 2023
概括
本研究介绍了一种使用表面电肌图 (sEMG) 传感器在混合现实 (MR) 远程协作中共享手力系统. 想象这种力量可以提高专家在物理任务中的意识和感知.
科学领域:
- 人与计算机的交互
- 机器人技术 机器人技术 机器人技术
- 可穿戴技术可穿戴技术
背景情况:
- 在物理任务上进行远程协作至关重要,但了解工人的手力是未被充分探索的.
- 当前的混合现实 (MR) 系统缺乏在远程协作过程中传递物理力量的有效方法.
研究的目的:
- 开发和评估一个原型系统,用于估计和可视化手力在MR远程协作.
- 调查共享手力信息对专家意识,感知和社会存在的影响.
主要方法:
- 使用可穿戴表面电肌图 (sEMG) 传感器来估计手的力.
- 开发了一个可视化估计手力的系统,覆盖在工人的视图或avatar上.
- 用三种可视化方法和两种视图模式进行了用户研究,以评估协作的有效性.
主要成果:
- 感知和分享手力显著提高了专家的任务意识.
- 专家们对合作者的手力和物体重量有了更强的感知.
- 对专家来说,观察到一种高度的社会存在感.
结论:
- 在MR远程协作中的手力可视化对专家的感知和参与有积极的影响.
- 为未来的MR系统提供设计影响,集成手力传感和可视化.
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